Non-fragile filtering for singular Markovian jump systems with missing measurements

M. Sathishkumar, R. Sakthivel, Chao Wang, B. Kaviarasan, S. Marshal Anthoni

Research output: Contribution to journalArticlepeer-review

40 Citations (Scopus)


In this paper, the issue of an non-fragile filter design is addressed for a class of discrete-time singular Markovian jump systems subject to time-varying delay and missing measurements based on the extended passivity theory. In particular, the missing probability is assumed to be affected by norm-bounded uncertainties. Moreover, the proposed filter design is more general and realistic since it unifies the mode-independent and mode-dependent characteristics in a single framework. By using Lyapunov–Krasovskii stability theory and Abel lemma, a new set of sufficient conditions is established which ensures the stochastic admissibility of the resulting error system with a prescribed disturbance attenuation level. Based on the sufficient conditions, the explicit expression of the desired filter gain matrices is formulated in terms of linear matrix inequalities. Finally, two numerical examples are provided to illustrate the effectiveness of the proposed non-fragile filter design, wherein it is showed that the proposed method yields less conservative results over some existing methods.

Original languageEnglish
Pages (from-to)125-136
Number of pages12
JournalSignal Processing
Publication statusPublished - 2018 Jan

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering


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